not analyzable — repository too large to scan in full
Query, provision and operate Cloud, SaaS, API and Model Context Protocol (MCP) resources through a unified SQL-based framework for humans and AI agents.
Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.
Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.
- B · 18 → A · 6
- B · 26 → B · 18
- C · 38 → B · 26
- A · 14 → C · 38
- B · 26 → A · 14
- A · 10 → B · 26
- B · 22 → A · 10
- A · 0 → B · 22
No known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
[](https://mcpobservatory.com/servers/github:stackql/stackql/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of stackql.